Meulemans, Alexander

8 publications

ICLR 2025 Multi-Agent Cooperation Through Learning-Aware Policy Gradients Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake Aaron Richards, Guillaume Lajoie, Blaise Aguera y Arcas, Joao Sacramento
NeurIPS 2023 Would I Have Gotten That Reward? Long-Term Credit Assignment by Counterfactual Contribution Analysis Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne
ICML 2022 Minimizing Control for Credit Assignment with Strong Feedback Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe
NeurIPS 2022 The Least-Control Principle for Local Learning at Equilibrium Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento
ICLR 2021 Continual Learning in Recurrent Neural Networks Benjamin Ehret, Christian Henning, Maria Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F Grewe
NeurIPS 2021 Credit Assignment in Neural Networks Through Deep Feedback Control Alexander Meulemans, Matilde Tristany Farinha, Javier Garcia Ordonez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe
ICLR 2021 Neural Networks with Late-Phase Weights Johannes von Oswald, Seijin Kobayashi, Joao Sacramento, Alexander Meulemans, Christian Henning, Benjamin F Grewe
NeurIPS 2020 A Theoretical Framework for Target Propagation Alexander Meulemans, Francesco Carzaniga, Johan Suykens, João Sacramento, Benjamin F. Grewe